Prediction of Group Learning Results from an Aggregation of Individual Understanding with Kit-Build Concept Map
Prediction of Group Learning Results from an Aggregation of Individual Understanding with Kit-Build Concept Map
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DOI：
10.1007/978-3-030-52240-7_20
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发表时间：
2020-06-10
期刊：
影响因子：
--
通讯作者：
Hirashima T
中科院分区：
文献类型：
--
作者：
Hayashi Y;Nomura T;Hirashima T
随着信息和通信技术的发展，我们可以收集和分析各种数据以进行优化。期望通过数据对学习的预测能够进行深刻的反思，从而增强学习体验。本文描述了一种通过个人理解与 Kit-build 概念图（KBmap）的聚合来预测小组学习结果的方法。 KBmap是一种重构型概念图，具有自动诊断内容的功能。为了测试这种方法，我们检查了从课堂课程中收集的数据的预测结果。结果表明，大多数实际结果与预测非常吻合，实际结果与预测之间的比较对教师来说可能是有用的。
With the development of information and communication technology, we can collect and analyze a variety of data for optimization. It is expected that the prediction of learning with the data enables a deep reflection for enhancing the learning experience. This paper describes a method to predict the group learning results from aggregation of an individual’s understanding with the Kit-build concept map (KBmap). KBmap is a reconstruction-type concept map with automated diagnosis of the content. To test this method, we examined the prediction results from the data collected from a classroom lesson. The results show that most of the actual results are in good agreement with the prediction, and the comparison between the actual results and the predictions could be useful for the teacher.
DOI：
10.1007/978-1-4419-5716-0_26
发表时间：
2010-01-01
期刊：
NEW SCIENCE OF LEARNING: COGNITION, COMPUTERS AND COLLABORATION IN EDUCATION
影响因子：
--
作者：
Dillenbourg, Pierre;Jermann, Patrick
通讯作者：
Jermann, Patrick
DOI：
10.1186/s41039-015-0018-9
发表时间：
2015-01-01
影响因子：
3.2
作者：
Hirashima, Tsukasa;Yamasaki, Kazuya;Funaoi, Hideo
通讯作者：
Funaoi, Hideo